Time Series Forecasting – (c) 2017AquaClim Enviro Solutions Ltd.

Environmental data such as climatic and hydrologic time series frequently exhibit time footprints modulated by noise, trend and quasi-periodic signal fluctuations. Identification of signal fluctuations can reveal the inherent data behavior as a preliminary part of modelling and forecasting. We investigate space and time variabilities in time and space through GIS analysis and rigorous statistical model identification, calibration and validation following standard techniques.The results are applied in environmental assessment, drought analysis, water availability etc.

: Spatial-Time Series Modelling